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Journal of Applied Sciences

Year: 2013 | Volume: 13 | Issue: 22 | Page No.: 5230-5234
DOI: 10.3923/jas.2013.5230.5234
Improved of Phrase Extraction Algorithm in Tibetan and Chinese Statistical Machine Translation
Cao Hui and Dong Xiaofang

Abstract: The extraction of the bilingual phrase is one of the key steps in the phrase-based translation model of Statistical machine translation. Extracting bilingual phrase accurately and sufficiently is the focus of the study. By improving the phrase extraction algorithm get the final phrase translation probability table. There is the situation that a Tibetan word aligned to many Chinese in the word alignment matrix. Using the Och algorithm extracts phrase pairs. When it does not meet Och’ condition, adding Tibetan dictionaries information. Comparing results by two methods which is the same size between different linguistic corpus and different sentence pairs of Tibetan-Chinese parallel corpora, the improved will be better in the experiment.

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How to cite this article
Cao Hui and Dong Xiaofang, 2013. Improved of Phrase Extraction Algorithm in Tibetan and Chinese Statistical Machine Translation. Journal of Applied Sciences, 13: 5230-5234.

Keywords: Statistical machine translation, phrase extraction, translation model and tibetan-Chinese bilingual phrase pairs

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